Kelin Xia - RankMe

65 papers A* 4Journal 58Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	High-Pass Matters: Theoretical Insights and Sheaflet-Based Design for Hypergraph Neural Networks. AAAI Ming Li, Yujie Fang, Dongrui Shen, Han Feng, Xiaosheng Zhuang, Kelin Xia, Pietro Lio
2026	J	`jnl`	Topology-Aware Multiscale Mixture of Experts for Efficient Molecular Property Prediction. CoRR Long D. Nguyen, Kelin Xia, Binh P. Nguyen
2025	J	`jnl`	A roadmap for curvature-based geometric data analysis and learning. CoRR Yasharth Yadav, Kelin Xia
2025	J	`jnl`	Commutative algebra-enhanced topological data analysis. CoRR Chuan-Shen Hu, Yu Wang, Kelin Xia, Ke Ye, Yipeng Zhang
2025	A*	`conf`	Contrastive Learning with Simplicial Convolutional Networks for Short-Text Classification. ICML Huang Liang, Benedict Lee, Daniel Hui Loong Ng, Kelin Xia
2025	J	`jnl`	Join Persistent Homology (JPH)-Based Machine Learning for Metalloprotein-Ligand Binding Affinity Prediction. J. Chem. Inf. Model. Yaxing Wang, Xiang Liu, Yipeng Zhang, Xiangjun Wang, Kelin Xia
2025	—	`conf`	Path Complex Neural Networks for Sequential Process Activities Classification. KDD (1) Liang Huang, Kelin Xia, Chuan-Shen Hu
2025	J	`jnl`	Quotient Complex (QC)-Based Machine Learning for 2D Hybrid Perovskite Design. J. Chem. Inf. Model. Chuan-Shen Hu, Rishikanta Mayengbam, Kelin Xia, Tze Chien Sum
2025	J	`jnl`	Quotient Complex Transformer (QCformer) for Perovskite Data Analysis. CoRR Xinyu You, Xiang Liu, Chuan-Shen Hu, Kelin Xia, Tze Chien Sum
2025	A*	`conf`	Rhomboid Tiling for Geometric Graph Deep Learning. ICML Yipeng Zhang, Longlong Li, Kelin Xia
2025	J	`jnl`	Rhomboid Tiling for Geometric Graph Deep Learning. CoRR Yipeng Zhang, Longlong Li, Kelin Xia
2025	J	`jnl`	TopoQA: a topological deep learning-based approach for protein complex structure interface quality assessment. Briefings Bioinform. Bingqing Han, Yipeng Zhang, Longlong Li, Xinqi Gong, Kelin Xia
2025	J	`jnl`	Topology-Enhanced Machine Learning Model (Top-ML) for Anticancer Peptide Prediction. J. Chem. Inf. Model. Joshua Zhi En Tan, Junjie Wee, Xue Gong, Kelin Xia
2025	J	`jnl`	Torsion Graph Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. Cong Shen, Xiang Liu, Jiawei Luo, Kelin Xia
2024	J	`jnl`	A cohomology-based Gromov-Hausdorff metric approach for quantifying molecular similarity. CoRR Junjie Wee, Xue Gong, Wilderich Tuschmann, Kelin Xia
2024	A*	`conf`	Graph Neural Networks with a Distribution of Parametrized Graphs. ICML See Hian Lee, Feng Ji, Kelin Xia, Wee Peng Tay
2024	J	`jnl`	Integration of persistent Laplacian and pre-trained transformer for protein solubility changes upon mutation. Comput. Biol. Medicine Junjie Wee, Jiahui Chen, Kelin Xia, Guo-Wei Wei
2024	J	`jnl`	KA-GNN: Kolmogorov-Arnold Graph Neural Networks for Molecular Property Prediction. CoRR Longlong Li, Yipeng Zhang, Guanghui Wang, Kelin Xia
2024	J	`jnl`	Molecular topological deep learning for polymer property prediction. CoRR Cong Shen, Yipeng Zhang, Fei Han, Kelin Xia
2024	J	`jnl`	Multi-Cover Persistence (MCP)-based machine learning for polymer property prediction. Briefings Bioinform. Yipeng Zhang, Cong Shen, Kelin Xia
2024	J	`jnl`	Quotient complex (QC)-based machine learning for 2D perovskite design. CoRR Chuan-Shen Hu, Rishikanta Mayengbam, Kelin Xia, Tze Chien Sum
2024	J	`jnl`	Topology-enhanced machine learning model (Top-ML) for anticancer peptide prediction. CoRR Joshua Zhi En Tan, Junjie Wee, Xue Gong, Kelin Xia
2023	J	`jnl`	Curvature-enhanced Graph Convolutional Network for Biomolecular Interaction Prediction. CoRR Cong Shen, Pingjian Ding, Junjie Wee, Jialin Bi, Jiawei Luo, Kelin Xia
2023	J	`jnl`	Fingerprint-Enhanced Graph Attention Network (FinGAT) Model for Antibiotic Discovery. J. Chem. Inf. Model. Hou Yee Choo, Junjie Wee, Cong Shen, Kelin Xia
2023	J	`jnl`	Graph Neural Networks with a Distribution of Parametrized Graphs. CoRR See Hian Lee, Feng Ji, Kelin Xia, Wee Peng Tay
2023	J	`jnl`	Laplacian Spectra of Persistent Structures in Taiwan, Singapore, and US Stock Markets. Entropy Peter Tsung-Wen Yen, Kelin Xia, Siew Ann Cheong
2023	J	`jnl`	Molecular geometric deep learning. CoRR Cong Shen, Jiawei Luo, Kelin Xia
2023	J	`jnl`	Multiscale Topological Indices for the Quantitative Prediction of SARS CoV-2 Binding Affinity Change upon Mutations. J. Chem. Inf. Model. Jialin Bi, Junjie Wee, Xiang Liu, Cunquan Qu, Guanghui Wang, Kelin Xia
2023	J	`jnl`	Persistent Tor-algebra for protein-protein interaction analysis. Briefings Bioinform. Xiang Liu, Huitao Feng, Zhi Lü, Kelin Xia
2023	J	`jnl`	Torsion Graph Neural Networks. CoRR Cong Shen, Xiang Liu, Jiawei Luo, Kelin Xia
2022	J	`jnl`	Dowker complex based machine learning (DCML) models for protein-ligand binding affinity prediction. PLoS Comput. Biol. Xiang Liu, Huitao Feng, Jie Wu, Kelin Xia
2022	J	`jnl`	Flexibility and rigidity index for chromosome packing, flexibility and dynamics analysis. Frontiers Comput. Sci. Jiajie Peng, Jinjin Yang, D. Vijay Anand, Xuequn Shang, Kelin Xia
2022	J	`jnl`	Molecular persistent spectral image (Mol-PSI) representation for machine learning models in drug design. Briefings Bioinform. Peiran Jiang, Ying Chi, Xiao-Shuang Li, Xiang Liu, Xian-Sheng Hua, Kelin Xia
2022	J	`jnl`	Multiphysical graph neural network (MP-GNN) for COVID-19 drug design. Briefings Bioinform. Xiao-Shuang Li, Xiang Liu, Le Lu, Xian-Sheng Hua, Ying Chi, Kelin Xia
2022	J	`jnl`	Persistent spectral based ensemble learning (PerSpect-EL) for protein-protein binding affinity prediction. Briefings Bioinform. Junjie Wee, Kelin Xia
2022	J	`jnl`	Persistent spectral simplicial complex-based machine learning for chromosomal structural analysis in cellular differentiation. Briefings Bioinform. Weikang Gong, Junjie Wee, Min-Chun Wu, Xiaohan Sun, Chunhua Li, Kelin Xia
2022	—	`conf`	Persistent tor-algebra based stacking ensemble learning (PTA-SEL) for protein-protein binding affinity prediction. TAG-ML Xiang Liu, Kelin Xia
2022	J	`jnl`	Persistent-homology-based machine learning: a survey and a comparative study. Artif. Intell. Rev. Chi Seng Pun, Si Xian Lee, Kelin Xia
2021	J	`jnl`	Fast random algorithms for manifold based optimization in reconstructing 3D chromosomal structures. Commun. Inf. Syst. Duan Chen, Shaoyu Li, Xue Wang, Kelin Xia
2021	J	`jnl`	Forman persistent Ricci curvature (FPRC)-based machine learning models for protein-ligand binding affinity prediction. Briefings Bioinform. Junjie Wee, Kelin Xia
2021	J	`jnl`	Hypergraph-based persistent cohomology (HPC) for molecular representations in drug design. Briefings Bioinform. Xiang Liu, Xiangjun Wang, Jie Wu, Kelin Xia
2021	—	`conf`	Neighborhood Complex Based Machine Learning (NCML) Models for Drug Design. iMIMIC/TDA4MedicalData@MICCAI Xiang Liu, Kelin Xia
2021	J	`jnl`	Ollivier Persistent Ricci Curvature-Based Machine Learning for the Protein-Ligand Binding Affinity Prediction. J. Chem. Inf. Model. Junjie Wee, Kelin Xia
2021	J	`jnl`	Persistent spectral hypergraph based machine learning (PSH-ML) for protein-ligand binding affinity prediction. Briefings Bioinform. Xiang Liu, Huitao Feng, Jie Wu, Kelin Xia
2021	J	`jnl`	Understanding Changes in the Topology and Geometry of Financial Market Correlations during a Market Crash. Entropy Peter Tsung-Wen Yen, Kelin Xia, Siew Ann Cheong
2020	J	`jnl`	Determining Optimal Coarse-Grained Representation for Biomolecules Using Internal Cluster Validation Indexes. J. Comput. Chem. Zhenliang Wu, Yuwei Zhang, John Z. H. Zhang, Kelin Xia, Fei Xia
2020	J	`jnl`	Persistent spectral based machine learning (PerSpect ML) for drug design. CoRR Zhenyu Meng, Kelin Xia
2019	J	`jnl`	A Malicious Web Site Identification Technique Using Web Structure Clustering. IEICE Trans. Inf. Syst. Tatsuya Nagai, Masaki Kamizono, Yoshiaki Shiraishi, Kelin Xia, Masami Mohri, Yasuhiro Takano, Masakatu Morii
2019	J	`jnl`	Understanding Attack Trends from Security Blog Posts Using Guided-topic Model. J. Inf. Process. Tatsuya Nagai, Makoto Takita, Keisuke Furumoto, Yoshiaki Shiraishi, Kelin Xia, Yasuhiro Takano, Masami Mohri, Masakatu Morii
2018	J	`jnl`	Persistent similarity for biomolecular structure comparison. Commun. Inf. Syst. Kelin Xia
2017	J	`jnl`	Finite volume formulation of the MIB method for elliptic interface problems. J. Comput. Appl. Math. Yin Cao, Bao Wang, Kelin Xia, Guo-Wei Wei
2017	J	`jnl`	Geometric and electrostatic modeling using molecular rigidity functions. J. Comput. Appl. Math. Lin Mu, Kelin Xia, Guo-Wei Wei
2016	J	`jnl`	Flexibility-rigidity index for protein-nucleic acid flexibility and fluctuation analysis. J. Comput. Chem. Kristopher Opron, Kelin Xia, Zach Burton, Guo-Wei Wei
2015	J	`jnl`	Matched interface and boundary method for elasticity interface problems. J. Comput. Appl. Math. Bao Wang, Kelin Xia, Guo-Wei Wei
2015	J	`jnl`	Multidimensional persistence in biomolecular data. J. Comput. Chem. Kelin Xia, Guo-Wei Wei
2015	J	`jnl`	Multiresolution Topological Simplification. J. Comput. Biol. Kelin Xia, Zhixiong Zhao, Guo-Wei Wei
2015	J	`jnl`	Persistent homology for the quantitative prediction of fullerene stability. J. Comput. Chem. Kelin Xia, Xin Feng, Yiying Tong, Guo-Wei Wei
2015	J	`jnl`	Second order method for solving 3D elasticity equations with complex interfaces. J. Comput. Phys. Bao Wang, Kelin Xia, Guo-Wei Wei
2014	J	`jnl`	A Galerkin formulation of the MIB method for three dimensional elliptic interface problems. Comput. Math. Appl. Kelin Xia, Guo-Wei Wei
2014	J	`jnl`	MIB Galerkin method for elliptic interface problems. J. Comput. Appl. Math. Kelin Xia, Meng Zhan, Guo-Wei Wei
2014	J	`jnl`	Multiscale geometric modeling of macromolecules I: Cartesian representation. J. Comput. Phys. Kelin Xia, Xin Feng, Zhan Chen, Yiying Tong, Guo-Wei Wei
2013	J	`jnl`	Multiscale geometric modeling of macromolecules II: Lagrangian representation. J. Comput. Chem. Xin Feng, Kelin Xia, Zhan Chen, Yiying Tong, Guo-Wei Wei
2012	J	`jnl`	Adaptively deformed mesh based interface method for elliptic equations with discontinuous coefficients. J. Comput. Phys. Kelin Xia, Meng Zhan, Decheng Wan, Guo-Wei Wei
2012	J	`jnl`	Variational Multiscale Models for Charge Transport. SIAM Rev. Guo-Wei Wei, Qiong Zheng, Zhan Chen, Kelin Xia
2011	J	`jnl`	MIB method for elliptic equations with multi-material interfaces. J. Comput. Phys. Kelin Xia, Meng Zhan, Guo-Wei Wei